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Cloudzy vs Gcore: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cloudzy and Gcore. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2008
2014
Headquarters
Dubai, UAE
Luxembourg
Billing model
Monthly, Annual (35% off)
On-demand, Reserved
Min commitment
1 month
None
Support tier
Standard (24/7 human support)
Standard → Enterprise
Regions
4 regions
5 regions

Strengths & Best For

Cloudzy

Cloudzy offers dedicated GPU VPS plans with RTX PRO 6000 Blackwell (96 GB GDDR7 ECC), Nvidia A100 (80 GB HBM2e), RTX 5090 (32 GB GDDR7), and RTX 4090 (24 GB GDDR6X) in 1× to 4× configurations. Annual pricing (35% off): RTX PRO 6000 $845/mo, A100 $714/mo, RTX 5090 $649/mo, RTX 4090 $506/mo. Monthly pricing: RTX PRO 6000 $1,300/mo, A100 $1,099/mo, RTX 5090 $999/mo, RTX 4090 $779/mo. All plans include CUDA pre-installed, AMD EPYC + DDR5, pure NVMe storage, 40 Gbps uplinks, and no egress fees. 14-day money-back guarantee. 13 global locations. Independent since 2008, rated 4.6/5 on Trustpilot. Accepts crypto (BTC, XMR, USDT).

Strengths
  • RTX PRO 6000 Blackwell (96 GB GDDR7 ECC) — dedicated passthrough
  • CUDA pre-installed — PyTorch, TF, JAX ready out of the box
  • 40 Gbps uplinks, no egress fees, pure NVMe storage
  • 35% annual discount — RTX PRO 6000 $845/mo, A100 $714/mo
  • 14-day money-back guarantee
  • Accepts BTC, XMR, USDT crypto payments
Weaknesses
  • Monthly billing only — no per-hour or per-second options
  • No InfiniBand — multi-node training over standard Ethernet only
  • Smaller provider — limited scale vs hyperscalers
Best For
Teams wanting dedicated (non-shared) GPU VPSLLM inference on RTX PRO 6000 (96 GB VRAM)Long-running training jobs on dedicated hardwareCrypto-native teams
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Gcore

Gcore is a global GPU cloud and CDN provider offering H100, A100, L40S, and L4 instances across 40+ points of presence worldwide, with ultra-low latency networking and built-in DDoS protection for edge AI inference workloads. On-demand and reserved billing options are available, making it a versatile GPU cloud for teams that need both compute and network performance at a global scale. A top choice for latency-sensitive AI inference applications that need to serve users across multiple continents.

Strengths
  • 40+ global PoPs with ultra-low latency networking
  • Built-in DDoS protection
  • H100, A100, L40S, L4 availability
  • CDN + GPU compute in one provider
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • Less mature ML tooling vs specialist AI clouds
  • Support quality varies by region
Best For
Global inference deployment needing low latencyLatency-sensitive AI applications serving multiple continentsTeams needing edge compute with DDoS protection
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Live GPU Pricing

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Region Coverage

Cloudzy — 4 regions
USEUMiddle EastAPAC (13 locations)
Gcore — 5 regions
EUUSAPACMELATAM

Popular Comparisons

Key differences

Cloudzy

RTX PRO 6000 $845/mo, A100 $714/mo, RTX 5090 $649/mo — dedicated GPU VPS, CUDA pre-installed

Gcore

Global GPU cloud and CDN — H100, A100, L40S across 40+ PoPs worldwide

AttributeCloudzyGcore
Provider typespecialistspecialist
Billing modelMonthly, Annual (35% off)On-demand, Reserved
Min commitment1 monthNone
Regions4 (US, EU, Middle East, +1)5 (EU, US, APAC, +2)
Support tierStandard (24/7 human support)Standard → Enterprise
Best forTeams wanting dedicated (non-shared) GPU VPS, LLM inference on RTX PRO 6000 (96 GB VRAM)Global inference deployment needing low latency, Latency-sensitive AI applications serving multiple continents
Founded / HQ2008 · Dubai, UAE2014 · Luxembourg